Abstract
High-rise buildings (HRBs) as modern and visually unique land use continue to increase due to urbanization. Therefore, large-scale monitoring of HRB is very important for urban planning and environmental protection. This paper performed object-based HRB detection using high-resolution satellite image and digital map. Three study areas were acquired from KOMPSAT-3A, KOMPSAT-3, and WorldView-3, and object-based HRB detection was performed using the direction according to relief displacement by satellite image. Object-based multiresolution segmentation images were generated, focusing on HRB in each satellite image, and then combined with pixel-based building detection results obtained from MBI through majority voting to derive object-based building detection results. After that, to remove objects misdetected by HRB, the direction between HRB in the polygon layer of the digital map HRB and the HRB in the object-based building detection result was calculated. It was confirmed that the direction between the two calculated using the centroid coordinates of each building object converged with the azimuth angle of the satellite image, and results outside the error range were removed from the object-based HRB results. The HRBs in satellite images were defined as reference data, and the performance of the results obtained through the proposed method was analyzed. In addition, to evaluate the efficiency of the proposed technique, it was confirmed that the proposed method provides relatively good performance compared to the results of object-based HRB detection using shadows.
Highlights
Accepted: 6 January 2022Due to urbanization, approximately 55% of the world’s total population currently lives in cities, and this proportion is estimated to reach 66% by 2050 [1]
Non-building objects in the reference data that were categorized as building objects by the method are labeled as false positives (FPs) (Table 2)
The scale parameters were selected by considering the size of the building objects located in the study area, and shape and compactness parameters, were set to 0.1 and 0.5, respectively, which are the default values when dividing multiresolution segmentation (Table 3)
Summary
Accepted: 6 January 2022Due to urbanization, approximately 55% of the world’s total population currently lives in cities, and this proportion is estimated to reach 66% by 2050 [1]. High-rise buildings (HRBs), which primarily serve as luxury commercial centers and residential apartments, continue to increase, as they have clear advantages in improving resource and energy efficiency [3]. Because these rapid land changes change major ecological ramifications that have not yet been studied, timely and accurate analysis of urban development status and trends through the detection of HRB in urban areas is very important when developing sustainable development strategies and improving urban residential environments and quality of life [4,5]. Analyses have been performed using a pixel and object-based method
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